Transportation Security Administration (TSA) Officers are at the forefront of our nation`s security, and are tasked with screening every bag boarding commercial aircraft within the United States. It is a repetitive visual search task that has a very low probability of encountering a threat, but extremely high consequences if a serious threat is missed. Currently, training instructors base their assessments of trainee progress solely on performance outcomes and observation from classroom and on the job performance. This effort will develop an advanced adaptive training system for baggage screeners using a combination of physiological and neurophysiological measures, including EEG, eye tracking, and heart rate to gain insights into an officer`s `unobservable` behavior, and advanced training science to diagnose and mitigate training deficiencies/inefficiencies in real-time to optimize individualized, precision training. Neurophysiological measures can provide insights into cognitive processing during baggage screening tasks and indicate training proficiency via continuous monitoring of workload, drowsiness, and distraction, as well as expertise level. Performance, cognitive state, expertise level, and eye tracking will be used to drive real time training adaptations and after-action reviews. The goal of the proposed adaptive training system is to provide individualized, tailored training to optimize training effectiveness and efficiency.